| | --- |
| | pipeline_tag: text-to-image |
| | license: other |
| | license_name: faipl-1.0-sd |
| | license_link: LICENSE |
| | prior: |
| | - Disty0/sotediffusion-wuerstchen3 |
| | --- |
| | |
| | # SoteDiffusion Wuerstchen3 |
| |
|
| | Anime finetune of Würstchen V3. |
| |
|
| | # Usage |
| | Please refer to the main model: https://huggingface.co/Disty0/sotediffusion-wuerstchen3 |
| |
|
| |
|
| | ## Dataset |
| |
|
| | Trained with 512K images. |
| |
|
| | ## Training: |
| |
|
| | **GPU used for training**: 1x AMD RX 7900 XTX 24GB |
| | **GPU Hours**: 100 |
| |
|
| | **Software used**: https://github.com/2kpr/StableCascade |
| |
|
| | ### Config: |
| | ``` |
| | experiment_id: sotediffusion-wr3_3b-stage_b-alpha3 |
| | model_version: 3B |
| | dtype: bfloat16 |
| | use_fsdp: False |
| | |
| | batch_size: 16 |
| | grad_accum_steps: 16 |
| | updates: 102400 |
| | backup_every: 2048 |
| | save_every: 1024 |
| | warmup_updates: 128 |
| | |
| | lr: 1.0e-5 |
| | optimizer_type: Adafactor |
| | adaptive_loss_weight: False |
| | stochastic_rounding: True |
| | |
| | image_size: 768 |
| | multi_aspect_ratio: [1/1, 1/2, 1/3, 2/3, 3/4, 1/5, 2/5, 3/5, 4/5, 1/6, 5/6, 9/16] |
| | shift: 4 |
| | |
| | checkpoint_path: /mnt/DataSSD/AI/SoteDiffusion/Wuerstchen3/ |
| | output_path: /mnt/DataSSD/AI/SoteDiffusion/Wuerstchen3/ |
| | webdataset_path: file:/mnt/DataSSD/AI/anime_image_dataset/best/newest_best.tar |
| | |
| | effnet_checkpoint_path: /mnt/DataSSD/AI/models/wuerstchen3/effnet_encoder.safetensors |
| | stage_a_checkpoint_path: /mnt/DataSSD/AI/models/wuerstchen3/stage_a.safetensors |
| | generator_checkpoint_path: /mnt/DataSSD/AI/SoteDiffusion/Wuerstchen3/generator_4k-016384.safetensors |
| | ``` |
| |
|
| |
|
| | ## Limitations and Bias |
| |
|
| | ### Bias |
| |
|
| | - This model is intended for anime illustrations. |
| | Realistic capabilites are not tested at all. |
| |
|
| | ### Limitations |
| | - Far shot eyes are can bad. |
| |
|
| |
|
| | ## License |
| |
|
| | SoteDiffusion models falls under [Fair AI Public License 1.0-SD](https://freedevproject.org/faipl-1.0-sd/) license, which is compatible with Stable Diffusion models’ license. Key points: |
| |
|
| | 1. **Modification Sharing:** If you modify SoteDiffusion models, you must share both your changes and the original license. |
| | 2. **Source Code Accessibility:** If your modified version is network-accessible, provide a way (like a download link) for others to get the source code. This applies to derived models too. |
| | 3. **Distribution Terms:** Any distribution must be under this license or another with similar rules. |
| | 4. **Compliance:** Non-compliance must be fixed within 30 days to avoid license termination, emphasizing transparency and adherence to open-source values. |
| |
|
| | **Notes**: Anything not covered by Fair AI license is inherited from Stability AI Non-Commercial license which is named as LICENSE_INHERIT. |
| | |
